Supplier selection problem under uncertainty: a case study of pickup truck fleet purchase

Supplier selection plays a pivotal role in organizational procurement, impacting material costs and overall competitiveness. However, navigating the complexities of this process, especially in the context of conflicting criteria and uncertain parameters, poses significant challenges. This study focuses on aiding decision-makers in a state enterprise tasked with selecting a diesel-powered 2WD pickup from seven available options in the Thai market. By employing fuzzy multi-criteria decision-making methods including Fuzzy Analytic Hierarchy Process (F-AHP), Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), a combination of Fuzzy AHP and TOPSIS, and The Best-Worst Method (BWM), this research aims to provide insights into effective decision-making strategies. The results highlight FORD Ranger XLT Open Cab XLT 2.0L Turbo HR 6MT as the preferred choice across multiple methods, underscoring the reliability and robustness of certain approaches. For future research, we suggest exploring hybrid methodologies and considering diverse datasets to enhance decision-making processes in procurement contexts.